CloudCore Launches GPU-as-a-Service Product in 6 Weeks

CloudCore is a regional infrastructure provider serving enterprise and mid-market customers across North America. GPU demand from their customer base had grown sharply, but CloudCore's existing bare-metal GPU offering was economically unattractive: single-tenant dedicated nodes were expensive to provision, difficult to right-size, and left significant idle capacity between customer workloads.

The goal was a flexible GPU-as-a-Service product — fractional GPU instances, multi-tenant isolation, and on-demand scaling — without an 18-month custom platform build.

Cerio.ai provided the composable infrastructure layer. CloudCore integrated their customer portal with Cerio.ai's allocation API, defining product tiers (fractional, full-node, and multi-node) that mapped to logical GPU pool allocations. Multi-tenant isolation was enforced at the hardware virtualization layer — each customer's workload ran in a cryptographically isolated GPU context with guaranteed performance floors.

The go-to-market timeline was six weeks from kickoff to first paying customer. The Cerio.ai API surface was familiar enough for CloudCore's infrastructure team to integrate without specialized expertise, and the composable layer abstracted the physical hardware details that would otherwise require custom tooling.

Postlaunch metrics: tenant density on CloudCore's existing GPU hardware increased 4× — the same physical nodes now serve four times the paying customers. Gross margin on GPU compute improved 52%, driven by higher utilization and elimination of idle capacity between customer workloads. CloudCore is on track to expand the product to two additional regions by end of year.